Forward Deployed Engineering
Trintel maps your operations, builds practical AI workflows that increase productivity, trains your team on functionality, and remains accountable until the system is in production.
Software sold seats. AI sells the work.
For two decades, software sold seats. AI delivers the work those seats once did. The value is no longer in the license. It is captured at the point of deployment, inside the work itself.
Most AI never reaches that point. MIT research in 2025 found that roughly 95 percent of enterprise AI pilots produced no measurable financial impact. The model was rarely the problem. The deployment was.
Closing that distance is the work. The integration, the workflow, the governance, and the operator who owns the result. It is the part that is hard, and the part that compounds once it runs.
Deploy. Operate. Compound.
A pilot proves the work is possible. Operation makes it dependable. The value of AI appears when the work runs every cycle, holds up under scrutiny, and improves over time.
Into the real work
We build the skill, connect it to your systems, and place it where the work happens. The procedure is written down and open to inspection.
In production, with a gate
It runs on a schedule, and a person approves every output. It adapts when the source data changes, and it improves each time you ship. You receive the outcome. We carry the operation.
Into operating leverage
Each workflow becomes an input to the next, and the same pattern ports across teams and companies. The library becomes the asset. The leverage grows over time.
The high leverage work, run end to end.
We deploy the work that is repetitive, time sensitive, and expensive in senior attention. The work where consistency and defensibility matter as much as speed.
Investor and LP reporting
Monthly and quarterly reporting to institutional investors. Financials, pipeline, and narrative, in the founder's voice.
Finance · IRRFP and security questionnaires
DDQs, security reviews, and RFPs answered from your approved library. Every answer sourced. Gaps flagged for a person.
Revenue · GTMDiligence synthesis
A data room becomes a structured, sourced read in hours. The documents, the risks, and the open questions.
Deal opsBoard and portfolio decks
Board ready drafts built from prior decks, the brand, and the latest numbers. It reads like the company, not a template.
LeadershipContract review and redlines
A first pass against your playbook, with risk flags and suggested edits. Counsel spends time on judgment.
LegalWeekly leadership rollups
Every team's wins, blockers, and asks in one read each Friday, in the leadership voice.
OperationsProposal and SOW generation
Tailored proposals and statements of work, built from deal context and your win library.
SalesCompetitive and market briefs
Standing intelligence on the moves that matter, refreshed on a schedule and synthesized for decisions.
StrategyFive layers turn a language model into an operating layer.
Each does one job. None is the whole answer alone. Together they run real work, repeatably, and the same architecture ports from one team to the next.
The Model
Reads the skill, makes the judgment calls, writes the output.
Cowork
A scoped workspace where the model reaches files, apps, and the approval gate.
Connectors
A standardized MCP contract to source systems. Plug and play, no bespoke code.
Skills
Instruction sets the model executes. Triggers, rules, and gates, all inspectable.
Agents
Subprocesses the model hands off to, each with isolated context per step.
Same sequence, every time.
The judgment layer absorbs change. The human gate is non negotiable.
Trigger
Schedule, message, or manual.
→Skill loaded
The model reads the SOP.
→Data pulled
Connectors retrieve from source.
→Model reasons
Interprets, drafts, applies voice.
→Human gate
Review · Edit · Approve
→Delivered
Email, file, message, or update.
→Learning loop
Studies your edits, sharpens the skill.
Why it holds where automation breaks: the skill carries the procedure, the model carries the judgment, the loop carries the improvement. It adapts when the source data changes instead of breaking. Every workflow makes the next one easier to stand up.
From days of finance work to a twenty minute review.
Two institutional investors, reported to every month, without the scramble.
A Series B software company we work with reports monthly to two institutional investors. One skill runs the chain end to end and stages everything for review before anything sends.
Quality holds. Voice holds.
Quality holds
The fact check is unforgiving. The memory agent surfaces prior investor commitments, so the draft addresses them rather than repeating them.
Voice holds
The copy runs against the founder's prior letters. The output reads like the founder, not like generic AI.
Governance holds
The skill is version controlled, connector access is scoped, and an approval gate stands between every draft and send. Defensible when the numbers are under scrutiny.
Every RFP answered from one source of truth.
Revenue and security teams answer the same questions across every deal. Slowly, inconsistently, and always against a deadline. One skill turns that into a review pass, and keeps the answers consistent across the entire pipeline.
Accuracy holds. Consistency holds.
Nothing is invented
Unsupported answers are flagged, never guessed. The reviewer sees exactly what is sourced and what still needs a decision.
One answer, everywhere
The same approved language goes out across every RFP and review. Update it once, and the entire pipeline stays current.
Deadlines stop setting the quality
The slow, manual work collapses, so a questionnaire no longer derails a week. A faster, cleaner response protects the deal.
Every output becomes the next input.
The weekly rollup feeds the monthly report. The monthly report feeds the quarterly board deck. Stand up one, and the next is easier. The library compounds.
Company rollup
Each team's wins, blockers, and asks across Slack and project tools, drafted as one rollup in the leadership voice.
A five minute read each Friday, in place of chasing six teams.
Investor reporting
A skill of nine agents. Financials, pipeline, narrative, charts, a fact check, voice, and a delivery preview.
Hours of FP&A and IR work, in one review pass.
Board deck in LLM Design Framework
Prior decks, the brand, and the latest rollup and investor narrative, drawn into a board ready draft.
A first draft that reads like the company.
Four dimensions to weigh it against.
The math compounds when you stack workflows across the business. And again when the same skills port from one company to the next.
8 to 12 hours back
Per workflow, per cycle. The gain is the removal of the connection, collection, and formatting work. Days of effort become a review pass.
Quality stops varying
Every run meets the same standard for accuracy, voice, and format, regardless of who is available.
Governed by default
Approval gates, version controlled skills, and scoped connector access. Nothing ships without sign off. It stands up when the work is reviewed.
The library is the asset
Every workflow makes the next one easier, and the pattern ports across teams and companies. Leverage grows over time.
AI, made useful.
Trintel designs and operates AI workflows for teams that want AI doing real work. We find the friction, redesign the workflow, then deploy and operate it with human oversight and measurable outcomes. We expand once the value is proven.
Find the friction
We begin with one recurring task an experienced operator wants gone. Not a platform rollout.
Redesign the workflow
We rebuild it as an inspectable skill. The procedure, the data, the gates, and the voice.
Deploy and operate
We run it in production with human oversight, scoped access, and measurable outcomes. Then we widen the library.
Point us to one recurring grind.
The best first builds share a shape. An experienced operator or leader carrying a recurring task they want gone. Send a name and a sentence on the work, and a one page build plan returns within 48 hours.
An hour with us on a workflow you choose. No preparation, no deck.